u j → s i An access of user u j to subject s i. U s i The set of users that access subject s i. N e t s i A complete graph of U s i. SU A binary matrix of subjects and users, the size of which is m × n.
The predictor matrix consists of subject specific information of any kind, and may include a mixture of behavioral factors, genotype, conventional factors, like gender and age, and environmental variables.
Additionally six movement parameters (translation and rotation around x-, y-, and z-axis) were included in the 1st-level design matrix of every subject as regressors of no interest.
In accordance with the findings of the multilevel regression analysis, we subjected the correlation matrix of study variables to a path analysis to determine if the three AAQ subscales acted as mediators between health satisfaction and QOL.
For each group, the mean functional connectivity matrix was calculated by averaging the N × N (N = 90 in the present study) connection matrix of all subjects.
Our PCA-merge can thus be useful to process the copy number dosage data matrix (of dimension #subjects by #SNPs) and obtain a smaller matrix (#subjects by #CNV regions) for subsequent association studies with a given clinical trait.
For each subject, the dynamics of the normalized EEG spectral amplitude at each electrode and frequency bin were dot-multiplied with the dynamics of each RSN, resulting in a data matrix of 20 (subjects)×10 (RSNs)×75 (frequency steps)×92 (electrodes) covariance values.
In contrast to comparable percentages of collagen type I in the matrixes of control and distraction group, the picrosinus staining showed that the relative abundance of collagen type III increased dramatically in the deep fascia matrix of rabbits subjected to 2 mm/day distraction (group C and D, Fig 1).
The process includes an index system for construction factors; area partitioning; the extraction of geological attributes; the creation of a relative membership grade matrix; the evaluation of subject and destination layers; and indeterminacy analysis.
We also let X i = (x i 1,..., x iT )' represent the T × P matrix of covariates for subject i.
Because the Soundwalks dataset contains 90 subject responses, a nonbinary votes matrix can be used to determine the sound-concept link weights described in Section 5. Obtaining this votes matrix requires large amounts of subject time, thus, limiting its size.
